Everything Evolves in Personalized PageRank-Reference-Cited by-同舟云学术

Everything Evolves in Personalized PageRank

Published:2023-04-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Web Conference 2023
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Author:

Li Zihao¹^ORCID,Fu Dongqi¹^ORCID,He Jingrui¹^ORCID

Affiliation:

1. University of Illinois at Urbana-Champaign, USA

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3543507.3583474

Reference50 articles.

1. Charu C. Aggarwal and Karthik Subbian . 2014 . Evolutionary Network Analysis: A Survey. ACM Comput. Surv . (2014). Charu C. Aggarwal and Karthik Subbian. 2014. Evolutionary Network Analysis: A Survey. ACM Comput. Surv. (2014).

2. Taras Agryzkov José Luis Oliver Leandro Tortosa and José-Francisco Vicent. 2012. An algorithm for ranking the nodes of an urban network based on the concept of PageRank vector. Appl. Math. Comput. (2012). Taras Agryzkov José Luis Oliver Leandro Tortosa and José-Francisco Vicent. 2012. An algorithm for ranking the nodes of an urban network based on the concept of PageRank vector. Appl. Math. Comput. (2012).

3. Esteban Bautista and Matthieu Latapy. 2022. A local updating algorithm for personalized PageRank via Chebyshev polynomials. Soc. Netw. Anal. Min. (2022). Esteban Bautista and Matthieu Latapy. 2022. A local updating algorithm for personalized PageRank via Chebyshev polynomials. Soc. Netw. Anal. Min. (2022).

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